Mathematics
College of Science and Engineering
Dean: Dr. Carmen Domingo
Department of Mathematics
TH 937
Phone: (415) 338-2251
Email: statmath@sfsu.edu
Website: math.sfsu.edu
Chair: Dr. Eric Hsu
Program Scope
The Bachelor of Arts is offered for students with a general interest in mathematics; Bachelor of Science programs in applied mathematics and statistics are also offered. Courses are offered in mathematics education for prospective elementary and secondary teachers. Copies of program requirements are available in the mathematics department office.
Bachelor of Arts in Mathematics
The Bachelor of Arts in Mathematics has three concentrations:
- Liberal Arts
- Teaching
- Advanced Study
The Liberal Arts concentration is for students who desire a broad liberal arts education with an emphasis in mathematics.
The Teaching concentration is for students whose goal is to teach mathematics in middle school or high school. These students will obtain a solid understanding of the mathematics needed for teaching and classroom experience as volunteers in local public schools. They will also have the opportunity to develop the mathematical skills, flexibility, and perceptiveness to help future students cultivate wonderful, fruitful ideas, and to help students connect their thinking to formal mathematical structures. Students who complete this concentration will have satisfied the early field experience requirement and the subject matter competency requirement for a single subject credential in mathematics.
The Advanced Study concentration is for students who plan to pursue a masters or doctoral degree in mathematics. Students who choose this concentration will obtain a solid foundation in the cornerstones of advanced mathematics: linear algebra, abstract algebra, vector analysis, real analysis, and complex analysis.
Bachelor of Science in Applied Mathematics
The Bachelor of Science in Applied Mathematics responds to the needs of business and industry for applied mathematical scientists. The program also responds to the needs of those students who enjoy mathematics for its own sake but who also have interests in other fields to which mathematics is applied. Applied mathematicians and statisticians are employed in such areas as operations research, systems analysis, computing, data analysis, biological sciences (for example, doing research on DNA topology, mathematical cancer biology, or meeting the special needs of Biostatistics), communications research, and in the management sciences.
The primary aim of applied mathematics is to elucidate scientific concepts and to describe and predict scientific phenomena through the use of mathematics. The applied mathematician is at once a mathematical specialist and a systems analyst, whose task it is to confront highly complex real-world situations with mathematical analysis. In industry, the applied mathematician has an opportunity to test both background and training in solving problems of a practical nature. It is necessary to have not only a grasp of the mathematical theories involved, but also an appreciation for the specific science or technology concerned. In this way, one can arrive at usable mathematical formulations of scientific and engineering problems.
The applied mathematics program prepares students in several areas. First, students acquire a broad knowledge of the techniques and methods of applied mathematics. These techniques include differential equations, optimization, statistics, numerical analysis, computer programming, and operations research. Second, students learn to model scientific phenomena and complex real-world systems, (Mathematical Modeling, Applied Mathematics Project) and to use these models to understand and predict the behavior of these systems. Finally, they learn how to communicate these results to other scientists and managerial decision makers.
Bachelor of Science in Statistics
he Bachelor of Science in Statistics is for students who are planning careers as statisticians in industry, business, government, or biomedical research. Statistics is basic to quantitative research in the biological, physical, and social sciences. Because its methods are based on mathematics, it requires a firm understanding of mathematical methods as well as an appreciation of scientific method, computation, and practical problems. To give the student both breadth and depth and to introduce the student to a variety of fields where statistics may be applied, three emphases are offered: science, business, and economics.
Master of Arts in Mathematics
The Master of Arts in Mathematics is offered with the purpose of extending students' experience in mathematics. A student's goal may be to prepare for a career in government, industry, or community college teaching, to enhance competency as an elementary or secondary school teacher, or to prepare for further graduate study.
Master of Science in Statistical Data Science
The M.S. in Statistical Data Science offers a comprehensive curriculum in the fields of statistics and data science.
The program prepares students with diverse backgrounds (including statistics, mathematics, computer science, engineering, and other quantitative fields) for the data science workforce.
The expected completion time for the program is two years. After graduation, students are expected to seek employment as data scientists/analysts in the San Francisco Bay Area's technology, pharmaceutical, and financial industries.
Minor in Mathematics
The Minor in Mathematics is available for students desiring a program of study in mathematics that is coherent but not as extensive as the B.A. program. It could provide an excellent background for prospective secondary school teachers who want to be able to teach in mathematics as well as in their major area, or for students majoring in a science such as biology or economics who want to emphasize the quantitative aspects of their major.
Career Outlook
The degree programs in mathematics and statistics prepare students for additional graduate work; teaching careers; and work in business, industry, and government that apply mathematical and statistical concepts. In addition, specific careers in actuarial science, investment firms, computer industry, biomedical research and the government sector (such as NASA and the NSA) are especially attractive.
Professor
Federico Ardila (2005), Professor in Mathematics. Ph.D. Massachusetts Institute of Technology.
David Bao (2007), Professor in Mathematics. Ph.D. University of California, Berkeley.
Matthias Beck (2004), Professor in Mathematics. Ph.D. Temple University.
Yitwah Cheung (2005), Professor in Mathematics. Ph.D. University of Illinois, Chicago.
Arek Goetz (1999), Professor in Mathematics. Ph.D. University of Illinois, Chicago.
Serkan Hosten (2000), Professor in Mathematics. Ph.D. Cornell University.
Eric Hsu (2001), Professor in Mathematics. Ph.D. University of California, Berkeley.
Mohammed R. Kafai (1989), Professor in Mathematics. Ph.D. University of California, Santa Barbara.
Judith Kysh (2000), Professor in Mathematics, Professor in Secondary Education. Ph.D. (1999), University of California, Davis.
Jean-Pierre Langlois (1984), Professor in Mathematics. Ph.D. University of California, Berkeley.
Shidong Li (1996), Professor in Mathematics. Ph.D. University of Maryland.
Alexandra Piryatinska (2006), Professor in Mathematics. Ph.D. Case Western Reserve University.
Neville Robbins (1984), Professor in Mathematics. Ph.D. Polytechnic Institute of New York.
Alexander Schuster (2000), Professor in Mathematics. Ph.D. University of Michigan.
Associate Professor
Emily Clader (2016), Associate Professor in Mathematics. Ph.D. University of Michigan.
Shandy Hauk (2019), Associate Professor in Mathematics. Ph.D. University of California, Irvine.
Tao He (2015), Associate Professor in Mathematics. Ph.D. Michigan State University.
Gerianne (Anne) M. Krause (1981), Associate Professor in Mathematics. Ph.D. Illinois Institute of Technology.
Dustin Ross (2016), Associate Professor in Mathematics. Ph.D. Colorado State University.
Kimberly Seashore (2015), Associate Professor in Mathematics. Ph.D. University of California, Berkeley.
Assistant Professor
Henry A. Boateng (2019), Assistant Professor in Mathematics. Ph.D. University of Michigan.
Luella Fu (2018), Assistant Professor in Mathematics. Ph.D. University of Southern California.
Chun-Kit Lai (2014), Assistant Professor in Mathematics. Ph.D. The Chinese University of Hong Kong.
Ornella Mattei (2019), Assistant Professor in Mathematics. Ph.D. University of Brescia.
Majors
- Bachelor of Arts in Mathematics: Concentration in Mathematics for Advanced Study
- Bachelor of Arts in Mathematics: Concentration in Liberal Arts
- Bachelor of Arts in Mathematics: Concentration in Teaching
- Bachelor of Science in Applied Mathematics
- Bachelor of Science in Statistics
Minor
MATH 107 Mathematics for Business Calculus I (Units: 3)
Prerequisite: First-Year Math Advising Module; Category III* or IV* placement for QR/Math.
MATH 108 Mathematics for Business Calculus II (Units: 3)
Prerequisite: MATH 107 with a grade of C or better.
(Note: Successful completion of MATH 107 and MATH 108 will culminate in satisfying the Quantitative Reasoning requirement (GE Area B4). For this course to satisfy General Education, students must earn a grade of C- or CR or higher.)
Course Attributes:
- B4: Math/QR
MATH 110 Business Calculus (Units: 3)
Prerequisite: First-Year Math Advising Module. For students who wish to take business calculus in one semester.
(Note: In order for this course to satisfy General Education, students must earn a C- or CR or higher grade if taken fall 2014 or later.)
Course Attributes:
- B4: Math/QR
MATH 112 Support for College Mathematics (Units: 2)
Prerequisites: First-Year Math Advising Module. Concurrent enrollment in PHIL 111* or CSC 110*.
MATH 122 Mathematics for Statistical Quantitative Reasoning (Units: 2)
Prerequisites: First-Year Math Advising Module. Concurrent enrollment in ISED 160* or PSY 171* required.
MATH 123 Mathematics for Elementary Statistics (Units: 2)
Prerequisites: First-year math advising module. Concurrent enrollment in Math 124*.
MATH 124 Elementary Statistics (Units: 3)
Prerequisites: First-Year Math Advising Module. Students who elect to take additional support should concurrently enroll in MATH 123.
Course Attributes:
- B4: Math/QR
MATH 165 Concepts of the Number System (Units: 3)
Prerequisite: Satisfactory completion of ELM requirement or any QR/Math placement category.
MATH 197 Prelude to Calculus I (Units: 3)
Prerequisite: First-Year Math Advising Module; Category III* and IV* placement for QR/Math.
MATH 198 Prelude to Calculus II (Units: 3)
Prerequisite: MATH 197 with a grade of C or better.
(Note: Note: Successful completion of MATH 197 and MATH 198 will culminate in satisfying the Quantitative Reasoning requirement (GE Area B4). For this course to satisfy General Education, students must earn a grade of C- or CR or higher.)
Course Attributes:
- B4: Math/QR
MATH 199 Pre-Calculus (Units: 4)
Prerequisite: First-Year Math Advising Module. For students who want to take pre-calculus in one semester.
Course Attributes:
- B4: Math/QR
MATH 225 Introduction to Linear Algebra (Units: 3)
Prerequisites: MATH 198* or MATH 199* or MATH 226* with a grade of C or better.
MATH 226 Calculus I (Units: 4)
Prerequisite: One of the following: MATH 198 or MATH 199 or equivalent with a grade of C or better; or MATH 226 or equivalent with a grade of C- or lower; or high school pre-calculus with B or better; or high school calculus with a grade of C or better.
Course Attributes:
- B4: Math/QR
MATH 227 Calculus II (Units: 4)
Prerequisite: MATH 226* with a grade of C or better.
MATH 228 Calculus III (Units: 4)
Prerequisite: MATH 227* with a grade of C or better.
MATH 245 Elementary Differential Equations and Linear Algebra (Units: 3)
Prerequisite: MATH 228 with a grade of C or better.
MATH 265 Advanced Number Systems (Units: 3)
Prerequisite: MATH 165 with a grade of C or better.
MATH 300GW History of Mathematics - GWAR (Units: 3)
Prerequisites: GE Area A2; MATH 227 or equivalent with a grade of C or higher.
Course Attributes:
- Graduation Writing Assessment
MATH 301GW Exploration and Proof - GWAR (Units: 3)
Prerequisites: GE Area A2; MATH 226* with a grade of C or higher.
Course Attributes:
- Graduation Writing Assessment
MATH 309 Mathematical Computing (Units: 3)
Prerequisites: MATH 227 with a grade of C or better or permission of the instructor.
MATH 310 Elementary Number Theory (Units: 3)
Prerequisites: MATH 227 and MATH 301GW with grades of C or better.
MATH 324 Probability and Statistics with Computing (Units: 3)
Prerequisites: MATH 227* with a grade of C or better; computer experience that meets the approval of the instructor; basic concepts of probability and statistics.
MATH 325 Linear Algebra (Units: 4)
Prerequisites: MATH 226* with a grade of C or better; concurrent enrollment in MATH 301GW recommended.
MATH 335 Modern Algebra (Units: 3)
Prerequisites: MATH 301GW and either MATH 225 or MATH 325 all with a grade of C or better; or permission of the instructor.
MATH 338 Introduction to SAS (Units: 3)
Prerequisites: MATH 309* or CSC 210* or CSC 309* with a grade of C or better or permission of the instructor.
MATH 350 Geometry (Units: 3)
Prerequisites: MATH 228 and MATH 301GW with grades of C or better.
MATH 370 Real Analysis I (Units: 3)
Prerequisites: MATH 227 and MATH 301GW* with grades of C or better.
MATH 375 Field Study for Secondary Teachers (Units: 3)
Prerequisite: MATH 301GW with a grade of C or better or permission of the instructor.
MATH 376 Ordinary Differential Equations I (Units: 3)
Prerequisites: MATH 228 and MATH 325 with grades of C or better.
MATH 380 Introduction to Complex Analysis (Units: 3)
Prerequisites: MATH 228 and MATH 301GW* with grades of C or better.
MATH 400 Numerical Analysis (Units: 3)
Prerequisites: MATH 228; MATH 225 or MATH 325; and CSC 210, all with grades of C or better.
MATH 420 Combinatorics (Units: 3)
Prerequisite for MATH 720: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 420: Upper-division standing; MATH 301GW; CSC 230 or MATH 310 or MATH 325; all with grades of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 720/MATH 420 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 424 Introduction to Linear Models (Units: 3)
Prerequisite for MATH 724: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 424: MATH 441* with a grade of C or better or permission of the instructor.
(MATH 724/MATH 424 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 425 Applied and Computational Linear Algebra (Units: 3)
Prerequisites: MATH 225 or MATH 325; and MATH 309 or CSC 210; all with grades of C or better.
MATH 430 Mathematics of Optimization (Units: 3)
Prerequisite: MATH 325 with a grade of C or better.
MATH 435 Modern Algebra II (Units: 3)
Prerequisite for MATH 735: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 435: Upper-division standing; MATH 335 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 735/MATH 435 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 440 Probability and Statistics I (Units: 3)
Prerequisites: MATH 228* with a grade of C or better (may be taken concurrently).
MATH 441 Probability and Statistics II (Units: 3)
Prerequisite for MATH 741: Graduate Mathematics students or permission of the instructor.
Prerequisite for MATH 441: Upper-division standing; MATH 440* and MATH 228 with grades of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 741/MATH 441 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 442 Probability Models (Units: 3)
Prerequisite: MATH 440* with a grade of C or better.
MATH 447 Design and Analysis of Experiments (Units: 3)
Prerequisites: MATH 325 and MATH 440* with grades of C or better or permission of the instructor.
(MATH 747/MATH 447 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 448 Introduction to Statistical Learning and Data Mining (Units: 3)
Prerequisite: MATH 440* with a grade of C or better or permission of the instructor.
MATH 449 Categorical Data Analysis (Units: 3)
Prerequisite: MATH 228* and MATH 440* with grades of C or better or permission of the instructor.
MATH 450 Topology (Units: 3)
Prerequisite: MATH 370 with a grade of C or better.
MATH 451 Introduction to Differential Geometry (Units: 3)
Prerequisites: MATH 228 and MATH 325 with grades of C or better; MATH 370 or MATH 450; or permission of the instructor.
MATH 460 Mathematical Modeling (Units: 3)
Prerequisites: MATH 325 and either MATH 245 or MATH 376, with grades of C or better.
MATH 462 Dynamical Systems with Applications (Units: 3)
Prerequisites: CSC 210, MATH 227, and MATH 301GW with grades of C or better, or permission of the instructor.
MATH 470 Real Analysis II: Several Variables (Units: 3)
Prerequisite for MATH 770: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 470: Upper-division standing; MATH 370 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 770/MATH 470 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 471 Fourier Analysis and Applications (Units: 3)
Prerequisites for MATH 771: Graduate standing; MATH 370 with a grade of C or better; or permission of the instructor.
Prerequisites for MATH 471: Upper-division standing; MATH 370 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 771/MATH 471 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 475 Capstone Course for Secondary Teachers of Mathematics (Units: 3)
Prerequisites: MATH 335 with a grade of C or better and one of the following: concurrent enrollment in MATH 370 or permission of the instructor.
MATH 477 Partial Differential Equations (Units: 3)
Prerequisite for MATH 777: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 477: Upper-division standing; MATH 376 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 777/MATH 477 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 491 Game Theory (Units: 3)
Prerequisite: MATH 227 with a grade of C or better.
MATH 495 Introduction to Wavelets and Frames with Applications (Units: 3)
Prerequisites: MATH 325 or MATH 370 with grades of C or better, or permission of the instructor.
MATH 565 Concepts of Geometry, Measurement, and Probability (Units: 3)
Prerequisite: MATH 165 with a grade of C or better.
MATH 575 Mathematics in the Middle School Classroom (Units: 3)
Prerequisite: MATH 565 with a grade of C or better; or BA Math Concentration in Teaching majors; or permission of the instructor.
MATH 576 Math in Middle Schools II (Units: 3)
Prerequisite: MATH 565 with a grade of C or better; or BA Math Concentration in Teaching majors; or permission of the instructor.
MATH 577 Math in Middle School III (Units: 3)
Prerequisite: MATH 565 with a grade of C or better; or BA Math Concentration in Teaching majors; or permission of the instructor.
MATH 696 Applied Mathematics Project I (Unit: 1)
Prerequisite: MATH 460 with a grade of C or better. May be replaced by permission of the instructor.
MATH 697 Applied Mathematics Project II (Units: 2)
Prerequisite: Successful completion of MATH 696 in a previous semester. May not be taken concurrently with MATH 696.
MATH 699 Independent Study (Units: 1-3)
Prerequisite: Approval of the department and permission of the instructor.
MATH 700 Graduate Teaching Workshop (Units: 3)
Prerequisite: Graduate Teaching Assistant status.
MATH 710 Measure and Integration (Units: 3)
Prerequisite: Graduate standing and MATH 770 with a grade of C or better or permission of the instructor; or upper-division standing and MATH 470.
MATH 711 Functional Analysis (Units: 3)
Prerequisites: MATH 710 and MATH 725 with grades of B- or better or permission of the instructor.
MATH 720 Combinatorics (Units: 3)
Prerequisite for MATH 720: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 420: Upper-division standing; MATH 301GW; CSC 230 or MATH 310 or MATH 325; all with grades of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 720/MATH 420 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 724 Introduction to Linear Models (Units: 3)
Prerequisite for MATH 724: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 424: MATH 441* with a grade of C or better or permission of the instructor.
(MATH 724/MATH 424 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 725 Advanced Linear Algebra (Units: 3)
Prerequisite: MATH 335 with a grade of C or better.
MATH 729 Communicating Mathematics (Units: 3)
Prerequisite: Formal commitment to write an MA thesis or expository paper.
MATH 730 Theory of Functions of a Complex Variable (Units: 3)
Prerequisites: Graduate standing and MATH 770 with a grade of C or better; or upper-division standing and MATH 470; and permission of the instructor.
MATH 735 Modern Algebra II (Units: 3)
Prerequisite for MATH 735: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 435: Upper-division standing; MATH 335 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 735/MATH 435 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 741 Probability and Statistics II (Units: 3)
Prerequisite for MATH 741: Graduate Mathematics students or permission of the instructor.
Prerequisite for MATH 441: Upper-division standing; MATH 440* and MATH 228 with grades of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 741/MATH 441 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 742 Advanced Probability Models (Units: 3)
Prerequisite: MATH 440 with a grade of C or better or permission of the instructor.
MATH 747 Design and Analysis of Experiments (Units: 3)
Prerequisites: MATH 325 and MATH 440* with grades of C or better or permission of the instructor.
(MATH 747/MATH 447 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 748 Theory and Applications of Statistical and Machine Learning (Units: 3)
Prerequisites: MATH 448 and MATH 441, each with a grade of C or better; or permission of the instructor.
MATH 760 Multivariate Statistical Methods (Units: 3)
Prerequisite: MATH 441 with a grade of C or better or permission of the instructor.
MATH 761 Computational Statistics (Units: 3)
Prerequisite: Graduate standing; or upper-division standing and MATH 440 or equivalent; or permission of the instructor.
MATH 770 Real Analysis II: Several Variables (Units: 3)
Prerequisite for MATH 770: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 470: Upper-division standing; MATH 370 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 770/MATH 470 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 771 Fourier Analysis and Applications (Units: 3)
Prerequisites for MATH 771: Graduate standing; MATH 370 with a grade of C or better; or permission of the instructor.
Prerequisites for MATH 471: Upper-division standing; MATH 370 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 771/MATH 471 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 777 Partial Differential Equations (Units: 3)
Prerequisite for MATH 777: Graduate Mathematics students or permission of the instructor.
Prerequisites for MATH 477: Upper-division standing; MATH 376 with a grade of C or better; GPA of 3.0 or higher; or permission of the instructor.
(MATH 777/MATH 477 is a paired course offering. Students who complete the course at one level may not repeat the course at the other level.)
MATH 850 Algebra (Units: 3)
Prerequisite: MATH 435/MATH 735 with a grade of C or better or permission of the instructor.
MATH 852 Algebraic Topology (Units: 3)
Prerequisites: MATH 335* and MATH 450* with grades of C or better; or permission of the instructor.
MATH 881 Selected Topics in Combinatorics (Units: 3)
Prerequisites: Graduate standing; MATH 301GW and MATH 335; or permission of the instructor.
MATH 883 Polytopes and Varieties (Units: 3)
Prerequisites: Either MATH 435 with a grade of C or better and permission of the instructor or MATH 735 or MATH 850 with a grade of C or better.
MATH 885 Advanced Frame Theory and Its Applications (Units: 3)
Prerequisites: MATH 471 or MATH 470; MATH 725 or MATH 770; or permission of the instructor.
MATH 895 Data Science Internship (Units: 3)
Prerequisites: Permission of the instructor and graduate adviser; and approval of Advancement to Candidacy (ATC) and Culminating Experience (CE) forms by Graduate Studies. ATC and Proposal for Culminating Experience Requirement forms must be approved by the Graduate Division before registration.
MATH 896 Exam Preparation (Units: 3)
Prerequisites: Permission of the instructor and graduate adviser; and approval of Advancement to Candidacy (ATC) and Culminating Experience (CE) forms by Graduate Studies. ATC and Proposal for Culminating Experience Requirement forms must be approved by the Graduate Division before registration.
MATH 896EXM Culminating Experience Examination (Units: 0-3)
Prerequisites: Permission of the instructor, committee chair, and approval of Advancement to Candidacy (ATC) and Culminating Experience (CE) forms by Graduate Studies. ATC and Proposal for Culminating Experience Requirement forms must be approved by the Graduate Division before registration.
MATH 898 Master's Thesis (Units: 3)
Prerequisites: Permission of the instructor and graduate adviser; and approval of Advancement to Candidacy (ATC) and Culminating Experience (CE) forms by Graduate Studies. ATC and Proposal for Culminating Experience Requirement forms must be approved by the Graduate Division before registration.
MATH 899 Independent Study (Units: 1-3)
Prerequisites: Approval of the department and permission of the instructor.